Estimate grain size of armor layer in alluvial rivers using Image Processing

Milad Payesteh, Babak Lashkar-Ara

Tuesday 30 june 2015

12:30 - 12:33h at Oceania (level 0)

Themes: (T) Sediment management and morphodynamics, (ST) River morphodynamics, Poster pitches

Parallel session: Poster pitches: 5B. Sediment - River

The bed material size distribution in alluvial river is an important and challenging issue in the study of hydrological morphological and environmental behavior of rivers. utilization of new method such as image processing instead sieve approach for determination of bed river material size is more efficient .this study is used corrective watershed transform and image reconstruct algorithm for material size determination of armor layer of bed that implemented in MATLAB 2013.size distribution curve of maximum length of material of both algorithm is showed RMSE factor 6.43 for watershed transform and 3.04 for image reconstruct algorithm. models efficiency of material size determination in image reconstruct algorithm is 96.3 percent and in watershed transform this factor is 90 percent, that shows image reconstruct algorithm is more effective than watershed transform . Keywords: gradation curve – image processing -watershed transform - image reconstruct – Armor layer